We are looking for a **Lead Data DevOps Engineer** to spearhead the creation, enhancement, and upkeep of a robust AWS data platform. You will work closely with fellow engineers in a collaborative setting that emphasizes teamwork, problem resolution, and leveraging individual skills. Join us if you are driven by cloud innovations and data pipeline excellence and want to lead impactful projects. **Responsibilities** * Create, enhance, and manage scalable data platforms and pipelines leveraging AWS technologies * Develop and refine data ingestion methods to improve data reliability and system efficiency * Produce clean, maintainable Python code adhering to coding best practices * Set up and administer AWS infrastructure components such as ECS, RDS, IAM, CloudWatch, VPC, Serverless, Glue, DynamoDB, EMR using Terraform * Oversee, diagnose, and automate workflows for data processing * Maintain and update documentation and knowledge repositories to facilitate team synergy * Promote AI technology integration and Agile methodologies within the group * Guide and mentor junior engineers to support their growth **Requirements** * Bachelor’s degree in Computer Science or related discipline, or equivalent experience * 5\+ years of experience in enterprise cloud application development with emphasis on AWS and Terraform * Advanced proficiency with AWS data services including Glue, Athena, S3, ETL/ELT, Python, and infrastructure as code * Excellent problem\-solving, troubleshooting, and team collaboration abilities * Proven track record mentoring junior engineers and thriving in Agile environments * Strong communication skills in English (B2 level or higher) * Flexibility to work varying hours up to 11 PM EST **Nice to have** * Hands\-on experience with AWS Lambda, DynamoDB, ECS, and RDS * Knowledge of monitoring and analytics platforms such as New Relic, Splunk, Cribl Stream, and Metabase